27 citations · 114 across the 14 of their papers we have counts for
14 papers
Automatic calibration of gamma-ray detectors deployed in uncontrolled environments
Marco Salathe, Nicolas Abgrall, Mark S. Bandstra +3
Radiation detectors deployed as part of a large urban network or for homeland security monitoring must maintain reliable energy calibration even when subjected to substantial varia…
Curation and Dissemination of Complex Multi-modal Data Sets for Radiation Detection, Localization, and Tracking
Nicolas Abgrall, Mark S. Bandstra, Reynold J. Cooper +5
The PANDAWN sensor network in Chicago, IL, is a state-of-the-art test-bed for networked, multi-modal sensing. It integrates AI/data science methods into its operation, from data ac…
Full Spectrum Modeling of In Situ Gamma-ray Detector Measurements with a Focus on Precipitation-Induced Transients
Mark S. Bandstra, James M. Ghawaly, Douglas E. Peplow +9
Gamma-ray detectors that are deployed outdoors experience increased event rates during precipitation due to the attendant increase in Rn-222 progeny at ground level. The increased…
Data-driven performance optimization of gamma spectrometers with many channels
Jayson R. Vavrek, Hannah S. Parrilla, Gabriel Aversano +3
In gamma spectrometers with variable spectroscopic performance across many channels (e.g., many pixels or voxels), a tradeoff exists between including data from successively worse-…
Surrogate distributed radiological sources III: quantitative distributed source reconstructions
Jayson R. Vavrek, Jaewon Lee, Marco Salathe +4
In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources…
Networked Sensing for Radiation Detection, Localization, and Tracking
R. J. Cooper, N. Abgrall, G. Aversano +18
The detection, identification, and localization of illicit radiological and nuclear material continue to be key components of nuclear non-proliferation and nuclear security efforts…
Background and Anomaly Learning Methods for Static Gamma-ray Detectors
M. S. Bandstra, N. Abgrall, R. J. Cooper +8
Static gamma-ray detector systems that are deployed outdoors for radiological monitoring purposes experience time- and spatially-varying natural backgrounds and encounters with man…
Design and deployment of radiological point-source arrays for the emulation of continuous distributed sources
Jayson R. Vavrek, C. Corey Hines, Mark S. Bandstra +6
We demonstrate a method for using arrays of point sources that emulate -- when measured from a standoff of at least several meters -- distributed gamma-ray sources, and present res…
Correlations between Panoramic Imagery and Gamma-Ray Background in an Urban Area
M. S. Bandstra, B. J. Quiter, M. Salathe +4
When searching for radiological sources in an urban area, a vehicle-borne detector system will often measure complex, varying backgrounds primarily from natural gamma-ray sources.…
Free-moving Quantitative Gamma-ray Imaging
Daniel Hellfeld, Mark S. Bandstra, Jayson R. Vavrek +11
The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radio…
Improved Gamma-Ray Point Source Quantification in Three Dimensions by Modeling Attenuation in the Scene
M. S. Bandstra, D. Hellfeld, J. R. Vavrek +8
Using a series of detector measurements taken at different locations to localize a source of radiation is a well-studied problem. The source of radiation is sometimes constrained t…
Reconstructing the Position and Intensity of Multiple Gamma-Ray Point Sources with a Sparse Parametric Algorithm
Jayson R. Vavrek, Daniel Hellfeld, Mark S. Bandstra +8
We present an experimental demonstration of Additive Point Source Localization (APSL), a sparse parametric imaging algorithm that reconstructs the 3D positions and activities of mu…
Modeling Aerial Gamma-Ray Backgrounds using Non-negative Matrix Factorization
M. S. Bandstra, T. H. Y. Joshi, K. J. Bilton +2
Airborne gamma-ray surveys are useful for many applications, ranging from geology and mining to public health and nuclear security. In all these contexts, the ability to decompose…
Observations of the Prompt Gamma-Ray Emission of GRB 070125
Eric C. Bellm, Kevin Hurley, Valentin Pal'shin +17
The long, bright gamma-ray burst GRB 070125 was localized by the Interplanetary Network. We present light curves of the prompt gamma-ray emission as observed by Konus-WIND, RHESSI,…